LangChainThe open agent platform to own your intelligence
vs
MakeAI automation you can visually build and orchestrate in real time.
Comparison · AI Agents · weekly run Nov 3
LangChain vs Make
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Make is the stronger AI pick in AI Agents: it has a visibility score of 17 versus 10.4 for LangChain, and ranks ahead in 50% of the answers that name both.
Choose LangChain if…
- You need a self-hosted or on-premises option
- Stateful multi-agent orchestration via state graphs
- Strong open-source adoption with large download numbers
- Suited to enterprise agent loops
Choose Make if…
- You want the brand AI engines rank higher (17 vs 10.4)
- AI answers describe it more positively (41% vs 17% positive)
- You need GDPR or SOC 2 Type II or SOC 3 or ISO 27001 coverage
- Free tier with 1,000 credits per month
AI visibility side by side
Latest weekly run · Nov 3
| Metric | LangChain | Make |
|---|---|---|
| Visibility score | 10.4% | 17% |
| Change vs last week | New | New |
| Rank in AI Agents | #12 | #9 |
| Share of voice | 2.7% | 3.6% |
| Mentions this run | 18 | 24 |
| Positive in AI answers | 17% | 41% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
LangChain 0pp · Make 0pp over 0 weekly runs.
Engine by engine
Make leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
LangChainMake
Head to head in AI answers
4 engine answers name both brands
2LangChain ranked higher
2Make ranked higher
| Prompt | Engine | LangChain | Make |
|---|---|---|---|
| Compare the leading AI Agents platforms | Perplexity | #7 | #11 |
| Alternatives to the most popular AI agent platform | ChatGPT | #7 | #4 |
| Where can I sign up for an AI agent platform? | AI Mode | #12 | #3 |
| Who makes the most used AI agent platform? | Perplexity | #2 | #6 |
Features, pricing & fit
| Dimension | LangChain | Make |
|---|---|---|
| Pricing model | Per seat | — |
| Entry price | Free; paid from $39 per seat / mo | — |
| Free plan | Yes | — |
| Deployment | Cloud (SaaS), hybrid (SaaS control plane with self-hosted data plane), or self-hosted in the customer's VPC | Cloud, hosted on Amazon AWS |
| Integrations | — | 3500+ |
| Compliance | — | GDPR, SOC 2 Type II, SOC 3, ISO 27001 |
| Support | Community forum, Support portal, Email support, Slack | Help center, Community forum, 24/7 support on Enterprise plans, Dedicated support team on Enterprise plans |
| Founded | 2023 | 2012 |
| Headquarters | San Francisco, CA, United States | Prague, Czech Republic |
| Employees | 201–500 | 201–500 |
| Funding | Series B, led by IVP | — |
| Best for | Teams building agents that need control over models, context, memory and deployment, and the ability to test, govern and improve them in production | Teams and organizations deploying AI and automation across the business, from a single department to company-wide. |
Plans side by side
LangChain
Developer$0seat per month, then pay as you go
Plus$39seat per month, then pay as you go
EnterpriseCustomcustom pricing, then pay as you go
Make
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
LangChain
- Stateful multi-agent orchestration via state graphs
- Strong open-source adoption with large download numbers
- Suited to enterprise agent loops
- Heavy developer framework that requires coding
Make
- Free tier with 1,000 credits per month
- Transparent pricing with paid plans from $12/month
- Visual, no-code automation between existing apps
- Integrations with more than 3,000 apps
- Built-in AI agents for business workflows
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “LangChain vs Make”, https://slateindex.ai/compare/langchain-vs-make, data of Nov 3, 2026. Licence: CC BY 4.0.